Efficient Precision Orbit Computation Techniques

ARS Journal ◽  
1960 ◽  
Vol 30 (8) ◽  
pp. 740-747 ◽  
Author(s):  
R. M. L. BAKER ◽  
G. B. WESTROM ◽  
C. G. HILTON ◽  
R. H. GERSTEN ◽  
J. L. ARSENAULT ◽  
...  
1966 ◽  
Vol 25 ◽  
pp. 363-371
Author(s):  
P. Sconzo

In this paper an orbit computation program for artificial satellites is presented. This program is operational and it has already been used to compute the orbits of several satellites.After an introductory discussion on the subject of artificial satellite orbit computations, the features of this program are thoroughly explained. In order to achieve the representation of the orbital elements over short intervals of time a drag-free perturbation theory coupled with a differential correction procedure is used, while the long range behavior is obtained empirically. The empirical treatment of the non-gravitational effects upon the satellite motion seems to be very satisfactory. Numerical analysis procedures supporting this treatment and experience gained in using our program are also objects of discussion.


Author(s):  
Charles H. Berman ◽  
Gary Gordon ◽  
Eric Jackson ◽  
George E. Karniadakis ◽  
Steven A. Orszag

2018 ◽  
Vol 7 (2.1) ◽  
pp. 92
Author(s):  
Dharmendra Kumar Tyagi ◽  
Mrinmoy Majumder ◽  
Chander Kant ◽  
Ashish Prabhat Singh

Hazen-William equation is used to estimate the Fluid flow in closed channel. There are various models for estimation of pipe flow, however the accuracy and reliability of models varies due to the empirical nature of the Hazen-William constant .the applicability of model also become constrained due to the dependency of constant on pipe material, dimension and flow potential. Different type of pipeline arranged in different Networks will require different value of the constant and is generally retrieved from the data collected for the pipe network. The case dependency of the model has makes the model erroneous and often subjective that is why the present study tries to propose a model which can be used for any network where the output will depend upon the inputs. In this aspect the soft computation techniques: - GMDH and PSO was utilized in an unconventional way to establish the value of CHW =f (H, L, V, D).  According to result the GMDH becomes the better model than the PSO where the accuracy is about 76.315%. 


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